orchestrate

Multi-agent workflow coordination decomposes goals, schedules execution waves, and delegates to specialist agents. It prevents conflicts by factoring dependencies across domains like architecture, data, devops, and QA before implementation starts.

Dependency-aware task planning analyzes requests, maps specialists by domain, and organizes subtasks into parallel or sequential waves. This ensures architecture and schema changes complete before API and UI work begins.

Managing a product backlog across agent domains requires registering work with a producer, documenting wave deliverables, and tracking progress through TodoWrite updates so every handoff is formally recorded.

Scheduling parallel waves requires mapping task dependencies and delegating isolated responsibilities to specialist agents. This prevents conflicts by ensuring independent domain tasks execute concurrently while dependent tasks wait.

Yes, you can plan architecture and QA responsibilities by mapping specialists by domain and scheduling sequential waves. It registers backlog items and guides execution rhythm for features like an API-backed dashboard.

Dependency-aware orchestration is not suited for isolated, single-domain tasks that lack cross-functional requirements. It is designed specifically for complex work spanning product, architecture, devops, and QA responsibilities.